Tao Jia
- Molecular Biology
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Co-authors
- Bin JiangRahul KulkarniAlbert-Ĺaszló BarabásiPavel NaumovMárton PósfaiBolesław K. SzymańskiDashun WangJean-Jacques Slotine
- Topics
- Complex Network Analysis Techniques (26 papers)Logic, Reasoning, and Knowledge (20 papers)Opinion Dynamics and Social Influence (16 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Tao Jia
150 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 468
- Statistical and Nonlinear Physics 449
- Artificial Intelligence 419
- Electrical and Electronic Engineering 282
- Computer Networks and Communications 252
Countries citing papers authored by Tao Jia
This map shows the geographic impact of Tao Jia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tao Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Jia more than expected).
Fields of papers citing papers by Tao Jia
This network shows the impact of papers produced by Tao Jia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tao Jia. The network helps show where Tao Jia may publish in the future.
Co-authorship network of co-authors of Tao Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Jia. A scholar is included among the top collaborators of Tao Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Jia. Tao Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | A Comprehensive Survey on Multi-View Clusteringbreakdown → | 142 |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 35 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 169 | |
| 20 | 1 |
About Tao Jia
Tao Jia is a scholar working on Instrumentation, Statistical and Nonlinear Physics and Computational Mathematics, having authored 171 papers that have together received 2.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Logic, Reasoning, and Knowledge (20 papers) and Opinion Dynamics and Social Influence (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (449 citations), Instrumentation (94 citations) and Transportation (175 citations). Tao Jia has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Bin Jiang, Rahul Kulkarni, Albert-Ĺaszló Barabási, Pavel Naumov, Márton Pósfai, Bolesław K. Szymański, Dashun Wang, Jean-Jacques Slotine, Yang‐Yu Liu and Endre Csóka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.